What projects are suitable?
Students on the MSc Finance, Technology and Policy programme undertake a range of courses, including:
- Data Value Chains to Constellations
- Financial Market and Investments
- Financial Valuation
- Modern Financial Market Microstructures
- Python Programming
Projects within any of these areas would be of interest to our students.
Examples of projects
- Analysing historical data using statistical techniques to determine optimal execution strategy with particular emphasis on trading securities in ratio
- Applications of machine learning to regulatory analytics
- Customer profile enrichment:
- Income benefits
- Income gap
- Transaction classification
- Relationship between performance accuracy and sentiment conveyed in investment research reports
Qualifying criteria
- Complete an application form setting out clear project objectives
- Have an interesting research topic that meets academic requirements
- Willingness to communicate business details to the student
- Ability to engage with the student throughout the project
- Commitment to share necessary data and arrange access for data collection (NDAs can be signed as part of the process)
Timescale
Action | Date |
---|---|
Contact Business Engagement Manager to discuss your project | Any time |
Expression of interest | By mid-November |
Client project proposal due | Deadline: 11 December |
Final list of projects confirmed | By end of January |
Projects are matched to students | Late February |
Client informed of matching outcome | Early March |
Dissertation period | May to mid-August |
Initial meeting between client and student and project scoping | May |
MoU and NDA agreed | By end of May |
Student carries out the research | Exact start date to be agreed in the MoU (from May onwards to mid-August) |
Outputs delivered to the client | End of August |
Discuss your ideas
If you would like more information on student projects please contact Mhari McIntyre, our Business Engagement Manager.